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This paper aims to describe the results of four studies that examine the interaction effects between locus of causality and social presence on consumers’ emotional response to a service failure and how they subsequently cope with the negative emotional experiences through support-seeking or vindictive negative word-of-mouth (NWOM).

To evaluate the research hypotheses, one online content analysis study and three experiments were conducted.

The results of the four studies show that when locus of causality information is not available (Studies 1 and 2), consumers are more likely to engage in support-seeking NWOM when there is social presence (versus no social presence). When a service failure is externally/internally attributed, social presence leads to less/more vindictive NWOM (Studies 3 and 4). The results clarify the underlying affective processes (frustration, anger and embarrassment) that account for the unique interaction effects involving locus of causality and social presence on NWOM.

Despite promising progress in both social presence and service failure research, scholarly attempts aiming to draw the theoretical linkages between these two streams are relatively scarce, and it remains unknown regarding whether and how social presence influences NWOM in the event of service failure. Against this backdrop, this research examines the effects of social presence on consumer NWOM in service failure. The authors further contribute to both research streams by testing the effects of an important set of emotions as mediators, as well by exploring the conditions under which a particular emotion is more predictive of its corresponding outcomes. These findings offer important insights that help service managers effectively mitigate customer NWOM at the point of service delivery.

The purpose of this paper is to design a robust tracking algorithm which is suitable for the real-time requirement and solves the mistake labeling issue in the appearance model of trackers with the spare features.

This paper proposes a tracker to select the most discriminative randomly projected ferns and integrates a coarse-to-fine search strategy in this framework. First, the authors exploit multiple instance boosting learning to maximize the bag likelihood and select randomly projected fern from feature pool to degrade the effect of mistake labeling. Second, a coarse-to-fine search approach is first integrated into the framework of multiple instance learning (MIL) for less detections.

The quantitative and qualitative experiments demonstrate that the tracker has shown favorable performance in efficiency and effective among the competitors of tracking algorithms.

The proposed method selects the feature from the compressive domain by MIL AnyBoost and integrates the coarse-to-fine search strategy first to reduce the burden of detection. This paper designs a tracker with high speed and favorable results which is more suitable for real-time scene.

The purpose of this paper is to discuss the opportunity of utilizing Tang dynasty history, heritage, buildings and names in the effort to place brand the contemporary city Xi'an.

The paper presents a conceptual framework for place branding cities consisting of two main dimensions. The first describes the continuum of functional versus emotional values within a city; the second measures the degree to which the image of a place is historical or contemporary. The paper then employs historical analysis to examine the meaning and construction of a Tang dynasty brand for place branding twenty‐first century Xi'an.

While Xi'an may possess an illustrious historical identity, the contemporary city is still searching for an image. Xi'an's glorious heritage attracts considerable tourism, but has not yet drawn substantial business, foreign direct investment or talents to contribute to and support economic development of the metropolitan region.

Historical analysis of a city can allow a reconstruction of identity in the modern context. Since this is a case study of one key Chinese city, additional cases are needed for other historically important cities to see their influence on business and marketing development.

Cities that are attempting to grow should consider their historical legacy. Building on images of the past, they can leapfrog development and establish a brand identity. Modernization was often thought of as a practical developmental tool. Building on the history of a region, modernization can take unique characteristics and differentiated developmental patterns.

Few, if any, studies examined the historical antecedents of a remaking and a re‐branding of a city. Destination marketing is an emerging area of research. Xi'an was a great, pivotal city in the past. This paper explores how one region built on the greatness of the past can re‐emerge in modern society.

Although an important facet of modernist architecture in which function plays a prominent role, building flexibility is not entirely a new concept. Its relevance transcends generations, allowing space and structure to evolve through time. This paper investigates the relationship among main building structures, infill elements, and space by studying examples in ancient Chinese architecture. It reveals the role of building owners, users, and craftsmen from a survey of historical documentation. In studying these examples, it is concluded that craftsmen in ancient China were involved not only during the construction phase but throughout the period of use as well. Thus, in select cases, the relationship between craftsmen and owners or users had been preserved for generations. Finally, this paper suggests potential strategies for the building industry and technology in the move towards sustainable development.

Tourists’ destination image is crucial for visiting intentions. An ancient capital with diverse characteristics is an important component of China’s urban tourism. The purpose of this paper is to address the following questions: what are the differences and commonalities of the perceived destination image of ancient capitals? What makes the difference of the perceived destination image in these cities? Aside from the exterior factors, are there internal factors of cities that influence tourists’ cognition and perception of destination image?

The comment text data of Baidu tourism website were used to determine the differences in the destination images of China’s four great ancient capitals: Beijing, Xi’an, Nanjing and Luoyang. ROST content mining and semantic network analysis were for differences and commonalities of the perceived destination image, and correlation analysis was used to explore the internal factors of cities that influence tourists’ cognition and perception of destination image.

Though the same as ancient capital, the four ancient capitals’ images are far apart; historical interests are the core of tourism experience in ancient capital city; image perception is from physical carrier, history and culture, and human cognition; tourist’ destination affect of ancient capital is most from its history and culture; protecting identity and maintaining daily life are crucial for ancient city tourism.

Previous studies on ancient capitals have focused on the invariable identity of ancient capitals’ destination images, and left a gap on determining from where the invariable identity comes in general and how much it influences destination image. This gap was addressed in this study, by analyzing the destination images of four ancient capitals in China as cases. In this way, this study provided reference to the other ancient cities worldwide.

Accurate and timely cost prediction is critical to the success of construction projects which is still facing challenges especially at the early stage. In the context of rapid development of machine learning technology and the massive cost data from historical projects, this paper aims to propose a novel cost prediction model based on historical data with improved performance when only limited information about the new project is available.

The proposed approach combines regression analysis (RA) and artificial neural network (ANN) to build a novel hybrid cost prediction model with the former as front-end prediction and the latter as back-end correction. Firstly, the main factors influencing the cost of building projects are identified through literature research and subsequently screened by principal component analysis (PCA). Secondly the optimal RA model is determined through multi-model comparison and used for front-end prediction. Finally, ANN is applied to construct the error correction model. The hybrid RA-ANN model was trained and tested with cost data from 128 completed construction projects in China.

The results show that the hybrid cost prediction model has the advantages of both RA and ANN whose prediction accuracy is higher than that of RA and ANN only with the information such as total floor area, height and number of floors.

(1) The most critical influencing factors of the buildings’ cost are found out by means of PCA on the historical data. (2) A novel hybrid RA-ANN model is proposed which proved to have the advantages of both RA and ANN with higher accuracy. (3) The comparison among different models has been carried out which is helpful to future model selection.

Quantitative analysis of existing literature is conducted to compare the textual features of ethics education in science and technology under the broad theme of ethics in science and technology. On this basis, the authors reveal the research hotspots and topic evolution in this field, and propose development suggestions in conjunction with the 5W theory.

In this paper, the authors visualize the graph and quantify the indicators in four aspects: time series, institutional collaboration, author co-authorship, and research hotspots.

Compared to ethics of science and technology, the research results in the field of ethics of science and technology education are limited. There is still room for improvement in the low density of cooperation between authors and institutions. The research themes are focused on theoretical discussions and countermeasure research. At present, the reform of ethics of science and technology is still in its infancy and has not yet formed a perfect system for education and personnel training. It is necessary for research on the ethical theory of technology to provide theoretical support.

In the context of sustainable development strategies, it is beneficial to explore the path of pedagogical optimization of ethics of science and technology in this study. This includes the maintenance of a good research environment and the realization of a healthy development in the field of science and technology.

This study aims to understand the normative expectations of travelers on the services and experiences provided by Buddhism-themed hotels as well as how service providers perceive such expectations. The growth of religion-themed hotels in China follows a larger and more generalized global marketing trend in terms of providing tourists and consumers with “themed” experiences.

Using the service quality model, this study investigates these expectations of Buddhism-themed hotels in China. The Delphi method was used with two expert panels, namely, travelers and tourism/hotel practitioners. Preliminary interviews revealed 98 normative expectations from Buddhism-themed hotels. Two sets of Delphi questionnaires were used to compare tourist expectations with practitioner perceptions.

Results show a wide range of expectations of travelers staying in Buddhism-themed hotels. They also reveal how the expectations of the two groups aligned as well as differed.

This study extends the application of the service quality model to the context of religion-themed hotels. As this study adopted the Delphi technique through criterion sampling, future studies should use a larger random sample to verify the results of this study.

The results help religion-themed hoteliers to understand their customer expectations better.

Given the lack of studies on religion-themed hotels, especially on the gap between tourist expectations and service providers’ perceptions, this study is a timely contribution to improve the understanding on the needs and expectations of customers when visiting religion-themed hotels.